Cfa Level 1 Complete Portfolio Management
Tags: CFA , Financial Planning
Deep dive into Portfolio Management with the Bestselling CFA® prep course provider | With visual learning + Quizzes
Last updated 2022-01-10 | 4.7
- Calculate and interpret portfolio standard deviation- Understand the theory behind investor's optimal portfolio
- Differentiate between capital allocation line (CAL) and capital market line (CAL)
What you'll learn
Calculate and interpret portfolio standard deviation
Understand the theory behind investor's optimal portfolio
Differentiate between capital allocation line (CAL) and capital market line (CAL)
Understand the difference between systematic risk and unsystematic risk
Calculate and interpret a stock's beta
Apply CAPM and Security Market Line (SML)
Calculate and interpret the Sharpe ratio
Treynor ratio
M-squared
and Jensen’s alpha.
Understand the major components of an Investment Policy Statement (IPS)
Plan and construct an investment portfolio
Risk management
risk budgeting
and measuring risk
Understand the various methods to modify a risk
Understand how Fintech is applied in investment management (Robo-advisors
automated trading)
Understand Big Data
AI and Machine Learning
Understand the technology behind distributed ledgers and Blockchain
* Requirements
* Basic mathematics knowledge* Quantitative Methods
Description
- Calculate and interpret portfolio standard deviation
- Understand the theory behind investor's optimal portfolio
- Differentiate between capital allocation line (CAL) and capital market line (CAL)
- Understand the difference between systematic risk and unsystematic risk
- Calculate and interpret a stock's beta
- Apply CAPM and Security Market Line (SML)
- Calculate and interpret the Sharpe ratio, Treynor ratio, M-squared , and Jensen’s alpha.
- Understand the major components of an Investment Policy Statement (IPS)
- Plan and construct an investment portfolio
- Risk management, risk budgeting, and measuring risk
- Understand the various methods to modify a risk
- Understand how Fintech is applied in investment management (Robo-advisors, automated trading)
- Understand Big Data, AI and Machine Learning
- Understand the technology behind distributed ledgers and Blockchain
Course content
10 sections • 39 lectures